TY - JOUR
T1 - A low-complexity equalizer for video broadcasting in cyber-physical social systems through handheld mobile devices
AU - Solyman, Ahmad A.A.
AU - Attar, Hani
AU - Khosravi, Mohammad R.
AU - Menon, Varun G.
AU - Jolfaei, Alireza
AU - Balasubramanian, Venki
AU - Selvaraj, Buvana
AU - Tavallali, Pooya
PY - 2020/3/19
Y1 - 2020/3/19
N2 - In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under time and frequency-selective fading channels. In this case, the need for equalizers like the Minimum Mean Square Error (MMSE) and Zero-Forcing (ZF) arises, though it is excessively complex due to the need for a matrix inversion, especially for DVB-H extensive symbol lengths. In this work, a low complexity equalizer, Least-Squares Minimal Residual (LSMR) algorithm, is used to solve the matrix inversion iteratively. The paper proposes the LSMR algorithm for linear and nonlinear equalizers with the simulation results, which indicate that the proposed equalizer has significant performance and reduced complexity over the classical MMSE equalizer and other low complexity equalizers, in time and frequency-selective fading channels.
AB - In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under time and frequency-selective fading channels. In this case, the need for equalizers like the Minimum Mean Square Error (MMSE) and Zero-Forcing (ZF) arises, though it is excessively complex due to the need for a matrix inversion, especially for DVB-H extensive symbol lengths. In this work, a low complexity equalizer, Least-Squares Minimal Residual (LSMR) algorithm, is used to solve the matrix inversion iteratively. The paper proposes the LSMR algorithm for linear and nonlinear equalizers with the simulation results, which indicate that the proposed equalizer has significant performance and reduced complexity over the classical MMSE equalizer and other low complexity equalizers, in time and frequency-selective fading channels.
KW - digital video broadcasting-handheld (DVB-H)
KW - Least-squares minimal residual (LSMR)
KW - orthogonal frequency division multiplexing (OFDM)
KW - zero-forcing (ZF) and cyber-physical social systems
UR - http://www.scopus.com/inward/record.url?scp=85084114058&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2982001
DO - 10.1109/ACCESS.2020.2982001
M3 - Article
AN - SCOPUS:85084114058
SN - 2169-3536
VL - 8
SP - 67591
EP - 67602
JO - IEEE Access
JF - IEEE Access
ER -